Regionally Enhanced Global (REG) 4D-Var
Michael A Herrera, Istvan Szunyogh, Adam Brainard, David D Kuhl, Karl Hoppel, Craig H Bishop, Teddy R Holt, Qingyun Zhao, Sabrina Rainwater
Monthly Weather Review | American Meteorological Society | Published : 2018
A regionally enhanced global (REG) data assimilation (DA) method is proposed. The technique blends high resolution model information from a single or multiple limited-area model domains with global model and observational information to create a regionally enhanced analysis of the global atmospheric state. This single analysis provides initial conditions for both the global and limited-area model forecasts. The potential benefits of the approach for operational data assimilation are (i) reduced development cost, (ii) reduced overall computational cost, (iii) improved limited-area forecast performance from the use of global information about the atmospheric flow, and (iv) improved global fore..View full abstract
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Awarded by ONR
Awarded by NRL
This study was conducted in collaboration with two of the Naval Research Laboratory institutions, NRL Monterey and NRL D.C. Funding was provided from a Texas A&M University Diversity Fellowship and ONR Grants N00014-12-1-0785, N00014-16-1-3011, and N00014-18-1-2509 and NRL Award N00173-16-1-3011.